Synthesis AI

Synthesis AI: Revolutionizing Computer Vision with Synthetic Data

What is Synthesis AI?

Synthesis AI is a platform specializing in the generation of synthetic data for computer vision and perception AI. It provides privacy-compliant, unbiased, and perfectly labeled 3D data to accelerate the development of AI models across various industries. Synthesis AI addresses the challenges of real-world data acquisition, such as cost, bias, and privacy concerns, by offering a scalable and customizable alternative.

How does Synthesis AI work?

Synthesis AI uses advanced simulation techniques to create realistic and diverse datasets. These datasets replicate real-world scenarios, including edge cases and rare events that are difficult or impossible to capture in real life. The platform provides pixel-perfect 3D labels, ensuring accurate and detailed annotations for training robust AI models.

Key Features and Benefits

• Privacy-Compliant Data: Generate data without compromising personal privacy.
• Unbiased Datasets: Mitigate demographic and other biases present in real-world data.
• Faster Time to Production: Accelerate AI model development with readily available, perfectly labeled data.
• Coverage of Edge Cases: Simulate rare and critical events to improve system performance and safety.
• Pixel-Perfect 3D Labels: Access detailed annotations, including depth, surface normals, and 3D landmarks.

Applications

Synthesis AI supports a broad range of computer vision applications, including:

• ID Verification: Build privacy-compliant and unbiased facial ID models.
• Security: Enhance security systems with robust and reliable AI.
• AR/VR/XR: Develop immersive augmented and virtual reality experiences.
• Virtual Try-On: Enable virtual product try-on experiences for e-commerce.
• Driver Monitoring: Improve driver safety with advanced monitoring systems.
• Pedestrian Detection: Enhance pedestrian safety in autonomous vehicles and smart cities.

Use Cases

• Virtual Product Design: Optimize camera configurations and understand performance in a virtual environment before building hardware.
• Simulating Edge Cases and Rare Events: Augment real data to ensure coverage of critical use cases that impact system performance and safety.
• Reducing Bias & Preserving Privacy: Build diverse and balanced human datasets to mitigate bias in a privacy-compliant manner.

Customer Trust

Synthesis AI is trusted by customers worldwide, helping them build better models and get to production faster. Companies leverage Synthesis AI to overcome the limitations of real-world data and accelerate their AI initiatives.

Resources

Synthesis AI offers a variety of resources, including:

• Blog: Stay up-to-date with the latest news and insights on synthetic data and computer vision.
• Gen AI: Explore the intersection of generative AI and synthetic data.
• Synthetic Data Book: Access a comprehensive guide to synthetic data.
• Synthetic Data Whitepaper: Dive deeper into the technical aspects of synthetic data.
• API Documentation: Integrate Synthesis AI into your existing workflows.

Why is Synthesis AI important?

Synthesis AI addresses critical challenges in AI development by providing a scalable, cost-effective, and privacy-compliant alternative to real-world data. By enabling the creation of unbiased datasets and the simulation of edge cases, Synthesis AI helps companies build more robust, reliable, and ethical AI models.

Where can I use Synthesis AI?

You can use Synthesis AI across a wide range of industries and applications, including:

• Automotive: Develop advanced driver-assistance systems (ADAS) and autonomous driving technologies.
• Consumer Devices: Enhance spatial applications and improve user experiences.
• Security: Build more secure and reliable identity verification systems.
• Retail: Enable virtual try-on experiences and personalized shopping experiences.

Synthesis AI empowers organizations to overcome data limitations and unlock the full potential of computer vision AI.